A Novel Deep-Learning Based Classification of Skin Diseases

Skin diseases are caused by various factors including bacteria, fungus, and genetics. Some of the diseases causes rough, scaly patches on skin, while others, pose a serious health problems. Skin diseases if not treated at early stages can spread to other parts of body and complicate treatment. Using Deep Learning techniques, medical professionals can confirm presence of a disease and start treatment immediately.In this paper, Deep Convolutional Neural Network (CNN) was used to perform skin disease classification. Data acquired was imbalanced. Combination of Data Augmentation and Under-sampling was used to balance the dataset and prevent overfitting on majority classes. The Deep CNN model was able to achieve an accuracy of 95.27%. Thus Deep CNNs are able to classify skin disease images with sufficient accuracy.